Semi-supervised manifold alignment with few correspondences
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DOI: 10.1016/j.neucom.2016.12.010
Abstract: In recent years, manifold alignment methods have aroused a great of interest in the machine learning community which construct a common latent space shared by multiple input data sets. In a semi-supervised problem, it is… read more here.
Keywords: alignment correspondences; supervised manifold; manifold alignment; semi supervised ... See more keywords
Connecting Vibrational Spectroscopy to Atomic Structure via Supervised Manifold Learning: Beyond Peak Analysis
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DOI: 10.1021/acs.chemmater.2c03207
Abstract: Vibrational spectroscopy is a nondestructive technique commonly used in chemical and physical analyses to determine atomic structures and associated properties. However, the evaluation and interpretation of spectroscopic profiles based on human-identifiable peaks can be difficult… read more here.
Keywords: spectroscopy; manifold learning; peak analysis; supervised manifold ... See more keywords
GrassMA: Graph-Based Semi-Supervised Manifold Alignment for Indoor WLAN Localization
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DOI: 10.1109/jsen.2017.2752844
Abstract: Wireless local area network (WLAN) fingerprinting has been extensively studied for indoor localization due to the formidable deployability of WLAN in indoor environment, but one major bottleneck of its practical implementation is the extensive calibration… read more here.
Keywords: supervised manifold; graph based; semi supervised; based semi ... See more keywords